{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "SDT.ipynb",
      "version": "0.3.2",
      "provenance": [],
      "collapsed_sections": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python2",
      "display_name": "Python 2"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/hdfeos/zoo/blob/master/NSIDC/MOD10C1.A2005018.006.2016141204712.hdf.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "metadata": {
        "id": "LoiM_dznp_Ng",
        "colab_type": "code",
        "outputId": "e6b4ab87-9392-4a8a-d47d-71194c02f29a",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 214
        }
      },
      "cell_type": "code",
      "source": [
        "import gdal\n",
        "import os\n",
        "import re\n",
        "import pyproj\n",
        "import numpy as np\n",
        "!pip install matplotlib\n",
        "import matplotlib as mpl\n",
        "import matplotlib.pyplot as plt\n"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Requirement already satisfied: matplotlib in /usr/local/lib/python2.7/dist-packages (2.2.4)\n",
            "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python2.7/dist-packages (from matplotlib) (0.10.0)\n",
            "Requirement already satisfied: numpy>=1.7.1 in /usr/local/lib/python2.7/dist-packages (from matplotlib) (1.14.6)\n",
            "Requirement already satisfied: backports.functools-lru-cache in /usr/local/lib/python2.7/dist-packages (from matplotlib) (1.5)\n",
            "Requirement already satisfied: subprocess32 in /usr/local/lib/python2.7/dist-packages (from matplotlib) (3.5.3)\n",
            "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python2.7/dist-packages (from matplotlib) (1.0.1)\n",
            "Requirement already satisfied: pytz in /usr/local/lib/python2.7/dist-packages (from matplotlib) (2018.9)\n",
            "Requirement already satisfied: six>=1.10 in /usr/local/lib/python2.7/dist-packages (from matplotlib) (1.11.0)\n",
            "Requirement already satisfied: python-dateutil>=2.1 in /usr/local/lib/python2.7/dist-packages (from matplotlib) (2.5.3)\n",
            "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /usr/local/lib/python2.7/dist-packages (from matplotlib) (2.3.1)\n",
            "Requirement already satisfied: setuptools in /usr/local/lib/python2.7/dist-packages (from kiwisolver>=1.0.1->matplotlib) (40.8.0)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "A7LQB7SEstJC",
        "colab_type": "code",
        "outputId": "8f300822-a382-4c74-8c8e-de54d39efa27",
        "colab": {
          "resources": {
            "http://localhost:8080/nbextensions/google.colab/files.js": {
              "data": 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",
              "ok": true,
              "headers": [
                [
                  "content-type",
                  "application/javascript"
                ]
              ],
              "status": 200,
              "status_text": "OK"
            }
          },
          "base_uri": "https://localhost:8080/",
          "height": 92
        }
      },
      "cell_type": "code",
      "source": [
        "!apt install proj-bin libproj-dev libgeos-dev\n",
        "!pip install https://github.com/matplotlib/basemap/archive/v1.2.0rel.tar.gz\n",
        "\n",
        "from mpl_toolkits.basemap import Basemap\n",
        "import numpy as np\n",
        "from google.colab import files\n",
        "uploaded = files.upload()\n",
        "\n",
        "for fn in uploaded.keys():\n",
        "  print('User uploaded file \"{name}\" with length {length} bytes'.format(\n",
        "      name=fn, length=len(uploaded[fn])))\n",
        "FILE_NAME = 'MOD10C1.A2005018.006.2016141204712.hdf'\n",
        "GRID_NAME = 'MOD_CMG_Snow_5km'\n",
        "DATAFIELD_NAME = 'Day_CMG_Snow_Cover'\n",
        "\n",
        "gname = 'HDF4_EOS:EOS_GRID:\"{0}\":{1}:{2}'.format(FILE_NAME,\n",
        "                                                 GRID_NAME,\n",
        "                                                 DATAFIELD_NAME)\n",
        "gdset = gdal.Open(gname)\n",
        "data = gdset.ReadAsArray()\n",
        "        \n",
        "# Read projection parameters.\n",
        "x0, xinc, _, y0, _, yinc = gdset.GetGeoTransform()\n",
        "nx, ny = (gdset.RasterXSize, gdset.RasterYSize)\n",
        "del gdset\n",
        "\n"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "     <input type=\"file\" id=\"files-e11c721f-0c20-468a-abbc-971a5555dfd7\" name=\"files[]\" multiple disabled />\n",
              "     <output id=\"result-e11c721f-0c20-468a-abbc-971a5555dfd7\">\n",
              "      Upload widget is only available when the cell has been executed in the\n",
              "      current browser session. Please rerun this cell to enable.\n",
              "      </output>\n",
              "      <script src=\"/nbextensions/google.colab/files.js\"></script> "
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Saving MOD10C1.A2005018.006.2016141204712.hdf to MOD10C1.A2005018.006.2016141204712.hdf\n",
            "User uploaded file \"MOD10C1.A2005018.006.2016141204712.hdf\" with length 4759890 bytes\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "tJ-L4Vu74xvr",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 376
        },
        "outputId": "97f0e804-53c5-47ff-992e-55d8fcc276be"
      },
      "cell_type": "code",
      "source": [
        "    # Construct the grid.  It's already in lat/lon.\n",
        "    x = np.linspace(x0, x0 + xinc*nx, nx)\n",
        "    y = np.linspace(y0, y0 + yinc*ny, ny)\n",
        "    lon, lat = np.meshgrid(x, y)\n",
        "\n",
        "    m = Basemap(projection='cyl', resolution='l',\n",
        "                llcrnrlat=-90, urcrnrlat = 90,\n",
        "                llcrnrlon=-180, urcrnrlon = 180)\n",
        "    m.drawcoastlines(linewidth=0.5)\n",
        "    m.drawparallels(np.arange(-90., 120., 30.), labels=[1, 0, 0, 0])\n",
        "    m.drawmeridians(np.arange(-180, 180., 45.), labels=[0, 0, 0, 1])\n",
        "\n",
        "    # Bin the data as follows:\n",
        "    # 0% snow\n",
        "    # 1-99% snow\n",
        "    # 100% snow\n",
        "    # lake ice (107)\n",
        "    # night (111)\n",
        "    # inland water (237)\n",
        "    # ocean (239)\n",
        "    # cloud-obscured water (250)\n",
        "    # data not mapped (253)\n",
        "    # fill (255)\n",
        "    lst = ['#00ff00', # 0% snow\n",
        "           '#888888', # 1-99% snow\n",
        "           '#ffffff', # 100% snow\n",
        "           '#ffafff', # lake ice\n",
        "           '#000000', # night\n",
        "           '#0000cc', # inland water\n",
        "           '#0000dd', # ocean\n",
        "           '#63c6ff', # cloud-obscured water\n",
        "           '#00ffcc', # data not mapped\n",
        "           '#8928dd'] # fill\n",
        "    cmap = mpl.colors.ListedColormap(lst)\n",
        "    bounds = [0, 1, 100, 107, 111, 237, 239, 250, 253, 255, 256]\n",
        "    norm = mpl.colors.BoundaryNorm(bounds, cmap.N)\n",
        "    \n",
        "    # Render the image in the projected coordinate system.\n",
        "    m.pcolormesh(lon[::2,::2], lat[::2,::2], data[::2,::2],\n",
        "                 latlon=True, cmap=cmap, norm=norm)\n",
        "\n",
        "    long_name = 'Day CMG Snow Cover'\n",
        "    basename = os.path.basename(FILE_NAME)\n",
        "    plt.title('{0}\\n{1}'.format(basename, long_name))\n",
        "    fig = plt.gcf()\n",
        "\n",
        "    color_bar = plt.colorbar(orientation='horizontal')\n",
        "    color_bar.set_ticks([0.5, 50, 103, 109, 180, 237.8, 242, 251.5, 254.5, 255.5])\n",
        "    color_bar.set_ticklabels(['0%\\nsnow', '1-99%\\nsnow', '100%\\nsnow', 'lake\\nice',\n",
        "                              'night', 'inland\\nwater', 'ocean',\n",
        "                              'cloud\\n-obscured\\nwater', 'data\\nnot\\nmapped',\n",
        "                              'fill'])\n",
        "    color_bar.draw_all()\n",
        "\n",
        "    pngfile = \"{0}.py.png\".format(basename)\n",
        "    fig.savefig(pngfile)"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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fPgyIjsTx48epUKFClnQ51alNmzasXr0aEKb3c+fO0aJFCywtLWnUqBG//vorIMZuHz9+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\nRK5CYII=\n",
            "text/plain": [
              "<Figure size 576x396 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    }
  ]
}
